Policy gradient methods for reinforcement learning avoid some of the undesirable properties of the value function approaches, such as policy degradation (Baxter and Bartlett, 2001...
Evan Greensmith, Peter L. Bartlett, Jonathan Baxte...
Abstract--This paper considers the automatic design of fuzzyrule-based classification systems from labeled data. The performance of classifiers and the interpretability of generate...
Eghbal G. Mansoori, Mansoor J. Zolghadri, Seraj D....
— Simulation can be an important step in the development of software for wireless sensor networks and has been the subject of intense research in the past decade. While most prev...
We describe CodeQuest, a system for querying source code. It combines two previous proposals, namely the use of logic programming and database system. Experiments (on projects ran...
Elnar Hajiyev, Mathieu Verbaere, Oege de Moor, Kri...
Abstract. Stochastic optimization is a leading approach to model optimization problems in which there is uncertainty in the input data, whether from measurement noise or an inabili...